Immigrants from China vs Immigrants from Colombia Community Comparison

The statistical analysis conducted on geographies consisting of 351,055,063 people shows a poor negative correlation between the proportion of Immigrants from Colombia within Immigrant from China communities in the United States with a correlation coefficient (R) of -0.126. On average, for every 1% (one percent) increase in Immigrants from China within a typical geography, there is a decrease of 0.004% in Immigrants from Colombia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from China corresponds to a decrease of 3.6 Immigrants from Colombia.

When considering income, the most significant differences between Immigrants from China and Immigrants from Colombia communities in the United States are seen in householder income ages 25 - 44 years ($119,756 compared to $92,204, a difference of 29.9%), median family income ($125,540 compared to $98,067, a difference of 28.0%), and median male earnings ($67,353 compared to $52,725, a difference of 27.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,931 compared to $53,714, a difference of 7.9%), wage/income gap (26.7% compared to 24.3%, a difference of 9.7%), and householder income over 65 years ($69,174 compared to $57,658, a difference of 20.0%).

When considering poverty, the most significant differences between Immigrants from China and Immigrants from Colombia communities in the United States are seen in receiving food stamps (9.6% compared to 12.9%, a difference of 35.1%), child poverty under the age of 5 (13.6% compared to 16.9%, a difference of 24.4%), and child poverty under the age of 16 (13.3% compared to 16.1%, a difference of 21.4%). Conversely, both communities are more comparable in terms of male poverty (10.7% compared to 11.1%, a difference of 4.5%), single father poverty (14.9% compared to 15.8%, a difference of 6.0%), and poverty (11.6% compared to 12.3%, a difference of 6.1%).

When considering unemployment, the most significant differences between Immigrants from China and Immigrants from Colombia communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.7% compared to 9.3%, a difference of 21.6%), unemployment among women with children under 6 years (6.2% compared to 7.4%, a difference of 19.4%), and unemployment among women with children under 18 years (4.9% compared to 5.6%, a difference of 13.2%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.25%), unemployment (5.2% compared to 5.2%, a difference of 0.75%), and unemployment among ages 20 to 24 years (10.4% compared to 10.3%, a difference of 0.90%).

When considering labor participation, the most significant differences between Immigrants from China and Immigrants from Colombia communities in the United States are seen in in labor force | age 16-19 (31.1% compared to 33.5%, a difference of 7.4%), in labor force | age 20-24 (71.1% compared to 73.4%, a difference of 3.3%), and in labor force | age > 16 (65.4% compared to 65.9%, a difference of 0.80%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 84.7%, a difference of 0.090%), in labor force | age 35-44 (84.7% compared to 84.9%, a difference of 0.25%), and in labor force | age 45-54 (83.2% compared to 83.4%, a difference of 0.31%).

When considering family structure, the most significant differences between Immigrants from China and Immigrants from Colombia communities in the United States are seen in births to unmarried women (24.7% compared to 32.6%, a difference of 32.2%), single mother households (5.1% compared to 6.7%, a difference of 32.0%), and single father households (1.8% compared to 2.4%, a difference of 28.2%). Conversely, both communities are more comparable in terms of average family size (3.23 compared to 3.27, a difference of 1.2%), family households (64.7% compared to 66.3%, a difference of 2.4%), and family households with children (27.4% compared to 28.2%, a difference of 2.7%).

When considering vehicle availability, the most significant differences between Immigrants from China and Immigrants from Colombia communities in the United States are seen in no vehicles in household (15.2% compared to 10.5%, a difference of 44.5%), 4 or more vehicles in household (6.0% compared to 5.4%, a difference of 12.6%), and 3 or more vehicles in household (18.2% compared to 17.3%, a difference of 5.2%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (51.5% compared to 52.0%, a difference of 1.0%), 1 or more vehicles in household (84.9% compared to 87.6%, a difference of 3.2%), and 3 or more vehicles in household (18.2% compared to 17.3%, a difference of 5.2%).

When considering education level, the most significant differences between Immigrants from China and Immigrants from Colombia communities in the United States are seen in doctorate degree (3.1% compared to 1.7%, a difference of 85.9%), professional degree (6.7% compared to 4.5%, a difference of 50.6%), and master's degree (21.2% compared to 14.9%, a difference of 42.3%). Conversely, both communities are more comparable in terms of 5th grade (96.8% compared to 96.8%, a difference of 0.020%), 4th grade (97.0% compared to 97.0%, a difference of 0.050%), and 6th grade (96.4% compared to 96.4%, a difference of 0.060%).

When considering disability, the most significant differences between Immigrants from China and Immigrants from Colombia communities in the United States are seen in disability age under 5 (0.96% compared to 1.2%, a difference of 24.9%), disability age 5 to 17 (4.5% compared to 5.4%, a difference of 19.8%), and vision disability (1.8% compared to 2.1%, a difference of 16.4%). Conversely, both communities are more comparable in terms of disability age over 75 (46.3% compared to 46.7%, a difference of 0.77%), cognitive disability (16.9% compared to 16.5%, a difference of 2.6%), and hearing disability (2.6% compared to 2.7%, a difference of 3.1%).